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A trainable generic Naive Bayesian Classifier. This is a machine learning algorithm to classify data containers as positive or negative based on your needs. An example use: determine if an email is spam.
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35
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An example of a simple parser for the text of emails. This does not parse text from emails; rather, it parses a list of strings passed to __init__(). It y
4632fbaView on GitHubchanged function name in NaiveBayesClassifier; edited README to show example usage.
03ff21bView on GitHub